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Anesthesia decision analysis using a cloud-based big data platform
Big data technologies have proliferated since the dawn of the cloud-computing era. Traditional data storage, extraction, transformation, and analysis...
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Harnessing big data for health equity through a comprehensive public database and data collection framework
The United States Department of Health and Human Services (HHS) pledged $90 million to help reduce health disparities with data-driven solutions. The...
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Improving child health through Big Data and data science
AbstractChild health is defined by a complex, dynamic network of genetic, cultural, nutritional, infectious, and environmental determinants at...
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Big Data und künstliche Intelligenz in der Anästhesie
Big data and artificial intelligence are buzzwords that everyone is talking about and yet always provide a touch of science fiction to the scenery....
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Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Physiology and Big Data
BackgroundThe implementation of multimodality monitoring in the clinical management of patients with disorders of consciousness (DoC) results in...
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Challenges and Opportunities in Big Data Science to Address Health Inequities and Focus the HIV Response
Purpose of ReviewBig Data Science can be used to pragmatically guide the allocation of resources within the context of national HIV programs and...
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Big Data in cardiac surgery: real world and perspectives
Big Data, and the derived analysis techniques, such as artificial intelligence and machine learning, have been considered a revolution in the modern...
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Big Multiple Sclerosis Data network: an international registry research network
BackgroundThe Big Multiple Sclerosis Data (BMSD) network ( https://bigmsdata.org ) was initiated in 2014 and includes the national multiple sclerosis...
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The role of big data management, data registries, and machine learning algorithms for optimizing safe definitive surgery in trauma: a review
Digital data processing has revolutionized medical documentation and enabled the aggregation of patient data across hospitals. Initiatives such as...
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Zwischen fachlichen Standards und wilder Innovation: Zur Begutachtung von Big Data- und KI-Projekten in Forschungs-Ethikkommissionen
Definition of the problemIn medicine, as well as in other disciplines, computer science expertise is becoming increasingly important. This requires...
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Utilizing big data from electronic health records in pediatric clinical care
AbstractBig data has the capacity to transform both pediatric healthcare delivery and research, but its potential has yet to be fully realized....
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Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics
Medical imaging AI systems and big data analytics have attracted much attention from researchers of industry and academia. The application of medical...
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Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository
In this paper, we focus on indexing mechanisms for unstructured clinical big integrated data repository systems. Clinical data is unstructured and...
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Whole genome sequencing for inherited retinal diseases in the Korean National Project of Bio Big Data
PurposeThis study aimed to analyze the genetic results of inherited retinal diseases (IRDs) and evaluate the diagnostic usefulness of whole genome...
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Hyperthyroidism and cardiovascular disease: an association study using big data analytics
BackgroundThe cardiovascular (CV) system is profoundly affected by thyroid hormones. Both hypo- and hyperthyroidism can increase the risk of severe...
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BART, the new robotic assistant: big data, artificial intelligence, robotics, and telemedicine integration for an ICU 4.0
We are in the era of Health 4.0 when novel technologies are providing tools capable of improving the quality and safety of the services provided. Our...
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The challenge of healthcare big data to China’s commercial health insurance industry: evaluation and recommendations
BackgroundChina’s social medical insurance system faces challenges in financing, product coverage, patient health responsibility sharing and data...
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Big Data in electrophysiology
The quantity of data produced and captured in medicine today is unprecedented. Technological improvements and automation have expanded the...
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Patient-reported symptom monitoring: using (big) data to improve supportive care at the macro-, meso-, and micro-levels
PurposeThis paper aims to provide a comprehensive understanding of the need for continued development of symptom monitoring (SM) implementation,...
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Comprehensive comparisons of ocular biometry: A network-based big data analysis
PurposeTo systematically compare and rank ocular measurements with optical and ultrasound biometers based on big data.
MethodsPubMed, Embase, the...
